Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +Class imbalance +Gradient descent -Rob Schapire -Ron Meir +David Feldman +Lexical feature selection +Class imbalance problem +Text analysis -Neural network"

Positive matches

• 0.061 + - Probability, Paradox, and the Reasonable Person Principle
• 0.051 + - Data analysis
• 0.028 + - Simpson's paradox
• 0.022 + - Pointwise mutual information
• 0.020 + - Jupyter/notebook
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.018 + - Science
• 0.017 + - Neuron
• 0.017 + - tf-idf
• 0.015 + - Poker
• 0.015 + - Yoav Freund
• 0.015 + - Natural language processing
• 0.012 + - Recommender system
• 0.011 + - IPython
• 0.010 + - Python
• 0.010 + - SSH tunneling
• 0.009 + - Data science
• 0.009 + - Interdisciplinary research
• 0.009 + - Information Theory, Inference, and Learning Algorithms

Negative matches

• 0.015 + - Paper/Srivastava2014
• 0.007 + - Jack Terwilliger
• 0.007 + - Ilya Sutskever
• 0.006 + - Neural Turing machine
• 0.005 + - word2vec
• 0.005 + - Liquid state machine
• 0.004 + - Recurrent neural network
• 0.004 + - Graph embedding
• 0.004 + - Dropout
• 0.003 + - Tomas Mikolov
• 0.002 + - Hierarchical softmax
• 0.001 + - Google
• 0.001 + - Gensim
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Chris McCormick
• 0.001 + - Attention (Deep learning)
• 0.001 + - Paper/Levy2014a
• 0.001 + - sense2vec
• 0.001 + - Paper/Levy2014
• 0.001 + - Skip-gram